Global - Land

	Download Data	Period Mean (original grids) [Pg yr-1]	Model Period Mean (intersection) [Pg yr-1]	Benchmark Period Mean (intersection) [Pg yr-1]	Model Period Mean (complement) [Pg yr-1]	Benchmark Period Mean (complement) [Pg yr-1]		Bias [g m-2 d-1]	RMSE [g m-2 d-1]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	114.
CABLE-POP	[-]	118.	116.	108.	2.42	6.12		0.197	1.36	1.03		0.505	0.509	0.850	0.965	0.668
CARDAMOM	[-]	125.	120.	109.	4.22	5.34		0.282	1.40	1.12		0.535	0.486	0.797	0.944	0.649
CLASSIC	[-]	150.	134.	113.	15.3	0.319		0.466	1.38	1.02		0.524	0.507	0.841	0.959	0.668
CliMA-Land	[-]	185.	181.	109.	4.37	5.28		1.72	2.23	1.25		0.349	0.482	0.793	0.915	0.604
CLM6.0	[-]	172.	151.	113.	19.5	0.643		0.879	2.04	1.16		0.411	0.466	0.787	0.940	0.614
DLEM	[-]	134.	134.	114.	0.301	0.00331		0.456	1.61	1.03		0.418	0.493	0.829	0.884	0.623
ED	[-]	104.	104.	114.	0.0946	0.129		-0.221	1.75	1.79		0.463	0.401	0.746	0.922	0.587
ELM	[-]	192.	169.	113.	21.4	0.660		1.29	1.94	0.862		0.337	0.526	0.868	0.861	0.623
IBIS	[-]	115.	114.	113.	0.638	0.309		0.0183	1.54	1.03		0.481	0.485	0.823	0.952	0.645
iMAPLE	[-]	145.	141.	114.	4.40			0.627	1.64	1.06		0.435	0.529	0.841	0.931	0.653
ISAM	[-]	112.	112.	114.	0.0939	0.0167		-0.0457	1.19	1.16		0.593	0.546	0.865	0.975	0.705
ISBA-CTRIP	[-]	152.	131.	114.	21.0			0.401	1.31	1.12		0.528	0.475	0.774	0.948	0.640
JSBACH	[-]	136.	127.	104.	7.77	9.83		0.573	1.61	1.13		0.449	0.441	0.795	0.925	0.610
JULES	[-]	144.	141.	111.	3.02	2.97		0.702	1.45	0.945		0.452	0.519	0.842	0.914	0.649
LPJ-GUESS	[-]	104.	102.	114.	1.59	0.0854		-0.267	1.48	1.14		0.432	0.522	0.819	0.777	0.614
LPJml	[-]	169.	158.	114.	11.5			1.01	1.86	1.23		0.493	0.415	0.774	0.964	0.612
LPJwsl	[-]	138.	138.	114.	0.318			0.553	1.73	1.34		0.492	0.461	0.764	0.915	0.619
LPX	[-]	128.	126.	114.	1.93	0.00842		0.289	1.47	1.10		0.493	0.474	0.799	0.946	0.637
OCN	[-]	147.	143.	111.	4.16	2.41		0.729	1.55	0.872		0.527	0.522	0.855	0.969	0.679
ORCHIDEE	[-]	116.	114.	114.	1.31			0.0142	1.27	1.15		0.522	0.494	0.796	0.969	0.655
SDGVM	[-]	99.2	94.2	113.	5.02	0.839		-0.433	1.30	0.947		0.455	0.573	0.828	0.794	0.645
VISIT	[-]	123.	122.	111.	1.15	2.30		0.245	1.62	1.16		0.464	0.483	0.789	0.947	0.633
VISIT-UT	[-]	125.	124.	111.	1.17	2.30		0.285	1.68	1.17		0.456	0.467	0.761	0.944	0.619

Global - Land

	Download Data	Evapotranspiration|GLEAMv3.3a Hellinger Distance [1]	Precipitation|GPCPv2.3 Hellinger Distance [1]	SurfaceDownwardSWRadiation|CERESed4.2 Hellinger Distance [1]	SurfaceAirTemperature|CRU4.02 Hellinger Distance [1]	SurfaceNetSWRadiation|CERESed4.2 Hellinger Distance [1]		Evapotranspiration|GLEAMv3.3a Score [1]	Precipitation|GPCPv2.3 Score [1]	SurfaceDownwardSWRadiation|CERESed4.2 Score [1]	SurfaceAirTemperature|CRU4.02 Score [1]	SurfaceNetSWRadiation|CERESed4.2 Score [1]	Overall Score [1]
CABLE-POP	[-]	0.621	0.595	0.648	0.686			0.861	0.856	0.835	0.820		0.843
CARDAMOM	[-]	0.462	0.547		0.756			0.830	0.864		0.661		0.785
CLASSIC	[-]	0.663	0.640		0.815			0.808	0.829		0.894		0.844
CliMA-Land	[-]	0.454	0.434	0.659	0.703	0.580		0.663	0.657	0.568	0.615	0.526	0.606
CLM6.0	[-]	0.517	0.510	0.639	0.642			0.679	0.753	0.692	0.640		0.691
DLEM	[-]	0.752	0.680		0.781			0.835	0.768		0.857		0.820
ED	[-]	0.588	0.355	0.638	0.657			0.850	3.81e-08	0.812	0.817		0.620
ELM	[-]	0.531	0.526	0.689	0.699			0.553	0.623	0.670	0.685		0.633
IBIS	[-]	0.665	0.647	0.732	0.774			0.836	0.883	0.789	0.758		0.817
iMAPLE	[-]	0.628	0.602	0.771	0.777			0.804	0.761	0.859	0.887		0.828
ISAM	[-]	0.672	0.697		0.827			0.915	0.907		0.820		0.881
ISBA-CTRIP	[-]		0.518	0.748					0.762	0.811			0.786
JSBACH	[-]	0.729	0.632	0.726	0.781			0.884	0.703	0.852	0.873		0.828
JULES	[-]	0.637	0.596	0.737	0.732			0.652	0.690	0.812	0.840		0.749
LPJ-GUESS	[-]	0.576						0.770					0.770
LPJml	[-]	0.441	0.489		0.717			0.790	0.813		0.693		0.765
LPJwsl	[-]	0.421	0.474		0.644			0.581	0.800		0.705		0.695
LPX	[-]	0.441	0.562	0.551	0.759			0.484	0.795	0.424	0.826		0.632
OCN	[-]	0.633	0.534	0.683	0.751			0.810	0.814	0.681	0.826		0.783
ORCHIDEE	[-]	0.722	0.685	0.773	0.798			0.874	0.852	0.825	0.814		0.841
SDGVM	[-]	0.562	0.618	1.00	0.783			0.776	0.710		0.727
VISIT	[-]	0.604	0.612	0.650	0.739			0.821	0.860	0.457	0.818		0.739
VISIT-UT	[-]	0.619	0.617		1.00			0.818	0.855

Global - Land Temporally integrated period mean Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Temporally integrated period mean bias Temporally integrated period mean bias score Temporally integrated period mean rmse Temporally integrated period mean rmse score Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean Relationship with Evapotranspiration Relationship with func_Evapotranspiration Relationship with Precipitation Relationship with func_Precipitation Relationship with SurfaceDownwardSWRadiation Relationship with func_SurfaceDownwardSWRadiation Relationship with SurfaceNetSWRadiation Relationship with func_SurfaceNetSWRadiation Relationship with SurfaceAirTemperature Relationship with func_SurfaceAirTemperature

  Title:

FLUXCOM (RS+METEO) Global Land Carbon Fluxes using CRUNCEP climate data

  Version:

1

  Institutions:

Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Germany

  Source:

Data generated by Artificial Neural Networks and forced with CRUNCEPv6 meteorological data and MODIS (RS+METEO) ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/CarbonFluxes_v1_2017/RS+METEO/CRUNCEPv6/raw/monthly/ ftp://ftp.bgc-jena.mpg.de/pub/outgoing/FluxCom/EnergyFluxes/RS_METEO/member/CRUNCEP_v8/monthly/

  History:

Thu Sep 25 15:06:26 2025: ncatted -a missing_value,lon,d,c, gpp.nc Thu Sep 25 15:06:22 2025: ncatted -a missing_value,lat,d,c, gpp.nc 2024-01-18: downloaded ['GPP.ANN.CRUNCEPv6.monthly.1980.nc', 'GPP.ANN.CRUNCEPv6.monthly.1981.nc', 'GPP.ANN.CRUNCEPv6.monthly.1982.nc', 'GPP.ANN.CRUNCEPv6.monthly.1983.nc', 'GPP.ANN.CRUNCEPv6.monthly.1984.nc', 'GPP.ANN.CRUNCEPv6.monthly.1985.nc', 'GPP.ANN.CRUNCEPv6.monthly.1986.nc', 'GPP.ANN.CRUNCEPv6.monthly.1987.nc', 'GPP.ANN.CRUNCEPv6.monthly.1988.nc', 'GPP.ANN.CRUNCEPv6.monthly.1989.nc', 'GPP.ANN.CRUNCEPv6.monthly.1990.nc', 'GPP.ANN.CRUNCEPv6.monthly.1991.nc', 'GPP.ANN.CRUNCEPv6.monthly.1992.nc', 'GPP.ANN.CRUNCEPv6.monthly.1993.nc', 'GPP.ANN.CRUNCEPv6.monthly.1994.nc', 'GPP.ANN.CRUNCEPv6.monthly.1995.nc', 'GPP.ANN.CRUNCEPv6.monthly.1996.nc', 'GPP.ANN.CRUNCEPv6.monthly.1997.nc', 'GPP.ANN.CRUNCEPv6.monthly.1998.nc', 'GPP.ANN.CRUNCEPv6.monthly.1999.nc', 'GPP.ANN.CRUNCEPv6.monthly.2000.nc', 'GPP.ANN.CRUNCEPv6.monthly.2001.nc', 'GPP.ANN.CRUNCEPv6.monthly.2002.nc', 'GPP.ANN.CRUNCEPv6.monthly.2003.nc', 'GPP.ANN.CRUNCEPv6.monthly.2004.nc', 'GPP.ANN.CRUNCEPv6.monthly.2005.nc', 'GPP.ANN.CRUNCEPv6.monthly.2006.nc', 'GPP.ANN.CRUNCEPv6.monthly.2007.nc', 'GPP.ANN.CRUNCEPv6.monthly.2008.nc', 'GPP.ANN.CRUNCEPv6.monthly.2009.nc', 'GPP.ANN.CRUNCEPv6.monthly.2010.nc', 'GPP.ANN.CRUNCEPv6.monthly.2011.nc', 'GPP.ANN.CRUNCEPv6.monthly.2012.nc', 'GPP.ANN.CRUNCEPv6.monthly.2013.nc']

2024-04-09: converted to netCDF, additionally we apply a mask where |var|<1e-15 for all time.

  References:

Jung, M., S. Koirala, U. Weber, K. Ichii, F. Gans, Gustau-Camps-Valls, D. Papale, C. Schwalm, G. Tramontana, and M. Reichstein (2019), The FLUXCOM ensemble of global land-atmosphere energy fluxes, Scientific Data, 74, doi:10.1038/s41597-019-0076-8

Tramontana, G., M. Jung, C.R. Schwalm, K. Ichii, G. Camps-Valls, B. Raduly, M. Reichstein, M.A. Arain, A. Cescatti, G. Kiely, L. Merbold, P. Serrano-Ortiz, S. Sickert, S. Wolf, and D. Papale (2016), Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms, Biogeosciences, 13, 4291-4313, doi:10.5194/bg-13-4291-2016

  Coordinates:

lat_bnds lon_bnds

  Nco:

netCDF Operators version 5.3.3 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco, Citation = 10.1016/j.envsoft.2008.03.004)